18 citations · 19 across the 6 of their papers we have counts for
6 papers
TrackTeller: Temporal Multimodal 3D Grounding for Behavior-Dependent Object References
Jiahong Yu, Ziqi Wang, Hailiang Zhao +3
Understanding natural-language references to objects in dynamic 3D driving scenes is essential for interactive autonomous systems. In practice, many referring expressions describe…
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
Wenxuan Ye, Chendi Qian, Xueli An +2
Integrating native AI support into the network architecture is an essential objective of 6G. Federated Learning (FL) emerges as a potential paradigm, facilitating decentralized AI…
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
Zhen Qin, Feiyi Chen, Chen Zhi +2
Existing approaches defend against backdoor attacks in federated learning (FL) mainly through a) mitigating the impact of infected models, or b) excluding infected models. The form…
Scheduling Multi-Server Jobs with Sublinear Regrets via Online Learning
Hailiang Zhao, Shuiguang Deng, Zhengzhe Xiang +4
Multi-server jobs that request multiple computing resources and hold onto them during their execution dominate modern computing clusters. When allocating the multi-type resources t…
The Confluence of Blockchain and 6G Network: Scenarios Analysis and Performance Assessment
Bo Li, Shuiguang Deng, Xueqiang Yan +1
Emerging advanced applications, such as smart cities, healthcare, and virtual reality, demand more challenging requirements on sixth-generation (6G) mobile networks, including the…
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
Zhen Qin, Xueqiang Yan, Mengchu Zhou +1
Federated learning (FL) enables collaborative training of machine learning models without sharing training data. Traditional FL heavily relies on a trusted centralized server. Alth…